Optimal Price/Lead-Time Menus for Queues with Customer Choice: Segmentation, Pooling, and Strategic Delay
成果类型:
Article
署名作者:
Afeche, Philipp; Pavlin, J. Michael
署名单位:
University of Toronto; Wilfrid Laurier University
刊物名称:
MANAGEMENT SCIENCE
ISSN/ISSBN:
0025-1909
DOI:
10.1287/mnsc.2015.2236
发表日期:
2016
页码:
2412-2436
关键词:
congestion
delay
incentives
lead times
mechanism design
pooling
pricing
priorities
quality of service
queueing systems
revenue management
Scheduling
segmentation
service differentiation
strategic delay
摘要:
How should a firm design a price/lead-time menu and scheduling policy to maximize revenues from heterogeneous time-sensitive customers with private information about their preferences? We consider a queueing system with multiple customer types that differ in their valuations for instant delivery and their delay costs. The distinctive feature of our model is that the ranking of customer preferences depends on lead times: patient customers are willing to pay more than impatient customers for long lead times, and vice versa for speedier service. We provide necessary and sufficient conditions, in terms of the capacity, the market size, and the properties of the valuation-delay cost distribution, for three features of the optimal menu and segmentation: pricing out the middle of the delay cost spectrum while serving both ends, pooling types with different delay costs into a single class, and strategic delay to deliberately inflate lead times.
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